| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 59 | 390 | 1020 | 55 |
| Environmental Sciences | 107 | 289 | 456 | 34 |
| Earth Science | 135 | 111 | 137 | 24 |
The discussions in the journal mainly cover the fields of Remote sensing, Artificial intelligence, Pattern recognition, Synthetic aperture radar and Hyperspectral imaging. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing explores topics in Remote sensing which can be helpful for research in disciplines like Image resolution, Meteorology, Satellite, Vegetation and Radar. The journal explores research in Image resolution and the adjacent study of Multispectral image.
It dives deep in exploring the relationship between the study of Artificial intelligence and Computer vision. The concepts on Pattern recognition presented in it can also apply to other research fields, including Contextual image classification, Image (mathematics), Spatial analysis and Cluster analysis. The journal facilitates discussions on Synthetic aperture radar that incorporate concepts from other fields like Inverse synthetic aperture radar, Radar imaging, Algorithm and Polarimetry.
Endmember is a primary topic of Hyperspectral imaging research in it. The research on Feature extraction featured in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing combines topics in other fields like Convolutional neural network and Feature (computer vision). Image segmentation studies tackled cover an aspect of the field of Segmentation.
The journal publications generally zeroe in on subjects such as Remote sensing, Artificial intelligence, Pattern recognition, Hyperspectral imaging and Computer vision. The published articles tackle studies in Satellite and the interrelated subject of Meteorology to gain insights into Remote sensing. While Pattern recognition is the focus of the most cited articles, it also provides insights into the studies of Noise (video), Feature (computer vision) and Cluster analysis.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing primarily tackles Artificial intelligence, Remote sensing, Feature extraction, Pattern recognition and Synthetic aperture radar. The journal connects the study in Artificial intelligence with the closely related area of Computer vision. The close relationship between Image resolution and Multispectral image is one of the points of interest dissected in Remote sensing research.
Feature extraction research presented in it encompasses a variety of subjects, including Feature (computer vision), Object detection, Contextual image classification, Convolution and Discriminative model. The work on Pattern recognition tackled in it brings together disciplines like Change detection, Image (mathematics) and Kernel (image processing). While Synthetic aperture radar is the focus of it, it also provided insights into the studies of Algorithm and Azimuth.
A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.
The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.
The top authors publishing in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (based on the number of publications) are:
The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.
Only papers with recognized affiliations are considered
The top affiliations publishing in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (based on the number of publications) are:
The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.
The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.
The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.
During the most recent 2021 edition, 10.96% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 38.43% were posted by at least one author from the top 10 institutions publishing in the journal. Another 10.83% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 17.05% of all publications and 33.69% were from other institutions.
A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.
The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.
The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.
Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).
The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
As the confluence of scientific research and technology continues to advance, we're seeing a rise in career opportunities related to Applied Earth Observations and Remote Sensing. One such promising career path is becoming a teacher or educator in this rapidly growing field.
For those passionate about sharing knowledge and inspiring future generations of scientists, pursuing a teaching career in Applied Earth Observations and Remote Sensing can be a rewarding path. With a strong foundational understanding of Remote Sensing, Artificial Intelligence, Pattern Recognition, Synthetic Aperture Radar, and Hyperspectral Imaging, educators can shape the future of this field in profound ways.
If you're interested in the specifics of how to build a career in teaching within this specialty, consider Hawaii as a place to start your journey. With its unique geographic location, Hawaii offers unparalleled opportunities for hands-on experience and research in Applied Earth Observations and Remote Sensing. To find out more, visit this helpful guide on how long does it take to become a teacher in Hawaii.
Whether as a researcher or an educator, a career in Applied Earth Observations and Remote Sensing can be a fulfilling way to contribute to our understanding of the world and the universe beyond.
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